cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Agus Ramelan
Contact Email
agusramelan@staff.uns.ac.id
Phone
+6282295313834
Journal Mail Official
agusramelan@staff.uns.ac.id
Editorial Address
Ruang Prodi Teknik Elektro Gedung 3, Lt. 2, Fakultas Teknik Universitas Sebelas Maret Jalan Ir. Sutami 36 Kentingan, Jebres, Surakarta, Jawa Tengah, Indonesia 57126
Location
Kota surakarta,
Jawa tengah
INDONESIA
Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Published by Universitas Sebelas Maret
ISSN : -     EISSN : 27151263     DOI : https://dx.doi.org/10.20961/jeeict.2.2.45291
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Journal of Electrical, Electronic, Information and Communication Technology (JEEICT) is a peer-reviewed open-access journal in English published twice a year by the Department of Electrical Engineering, Sebelas Maret University, Indonesia. The JEEICT aims to provide a leading-edge medium for researchers, industry professionals, engineers, educators, students to disseminate research work and studies in the fields of electrical, electronics, information and communication technology. The journal publishes work from power systems, electronics, instrumentation, and biomedical engineering, renewable energy and its application, control systems, information technology, and communication and vehicular technology disciplinary, in theoretical and experimental perspectives.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 89 Documents
 5   6   7   8   9 
Grammatical Error Correction (GEC) of Indonesian Text Based on Neural Machine Translation (NMT) Nike Sartika; Yuda Sukmana
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.78837

Abstract

Writing errors in Indonesian are often found in various writings made in educational, government and mass media environments. The most dominant error is in spelling. This research proposes a Grammatical Error Correction (GEC) for Indonesian using the Neural Machine Translation (NMT) method, namely seq2seq, which is popularly used for English and has achieved the best performance approaching human capabilities. The model developed is made into a web-based service that is easy for users to access. The datasets used in this experiment are artificial datasets sourced from several studies regarding error analysis in Indonesian. The research results show that with the help of currently available open-source tools such as OpenNMT-py, it is possible to simplify the training process of NMT-based GEC models. Unfortunately, the small number of datasets leads to poor predictions for random sentences.
Simulation-Based Parameter Optimization Using Genetic Algorithm for Microalgae Bioethanol Production Samsurizal Samsurizal; Septianissa Azzahra; Kartika Tresya Mauriraya; Dody Dody; Yulisya Zuriatni; Istianto Budhi Rahardja
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 2 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.2.108704

Abstract

Bioethanol is a promising renewable energy source, and microalgae such as Chlorella vulgaris and Spirulina platensis offer high productivity potential. This work applies a Genetic Algorithm (GA) to optimize key environmental parameters—pH, light intensity, and temperature—within a simulation framework over a 100-day cultivation period. GA optimization resulted in a 25% increase in total ethanol yield, from baseline values of 51.00 to 63.66 g/L for Chlorella and 32.64 to 40.79 g/L for Spirulina. We benchmarked GA against Particle Swarm Optimization (PSO), Differential Evolution (DE), and Simulated Annealing (SA); GA consistently delivered superior convergence and final yields. The model incorporates phase‑dependent carbohydrate accumulation and realistic environmental disturbances, though biological complexities such as photoinhibition and nutrient limitations are acknowledged as future work. To enable meaningful convergence, the growth model was extended with mild photoinhibition and nutrient limitation terms, ensuring a more realistic fitness landscape. Findings support the viability of metaheuristic optimization in microalgae biofuel systems and indicate potential for intelligent control integration in photobioreactor operations.
Augmented Reality Implementation in Laptop Product Promotion Media Using Web-Based QR-Codes Dini Destiani Siti Fatimah; Ayu Latifah; Albie Firgi Bahari
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.1.81780

Abstract

Technological developments were created for various needs, such as science, especially in the information field. This development has a very positive impact on technology users who promote electronic-based products. Augmented Reality is a tool to promote various products, especially to find out the specifications of electronic devices such as laptops, where users can view additional information relevant to the product being promoted via mobile devices such as smartphones or tablets. QR codes can also direct users to promotional websites that contain complete information about the laptop products being promoted. This research uses the MDLC (Multimedia Development Life Cycle) methodology to ensure that the built system can meet user needs and ensure effective use of AR and QR-code technology in laptop product promotion. The research stages consist of concept, design, material collecting, assembly, testing, and distribution. The results of the study show that the use of Augmented Reality as a promotional support medium is able to create innovative experiences for users, resulting in increased effectiveness in product promotion. By applying the Blackbox approach in testing application functions, the results show that all application components run according to predetermined expectations. The application of Augmented Reality technology in this application was carried out according to plan, successfully displaying product objects in 3D through the implementation of Augmented Reality.
Deep Learning Approach for Palm Oil Fresh Fruit Bunches Harvest Decision Yusuf Athallah Adriyansyah; Feri Adriyanto; Pringgo Widyo Laksono
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 1 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.1.100897

Abstract

The efficiency of palm oil harvesting is crucial to ensuring optimal yield and quality of fresh fruit bunches (FFB). Traditional manual harvesting methods often result in inconsistent outcomes due to human error and subjectivity in ripeness evaluation. This study proposes an intelligent, image-based harvesting decision system that utilizes Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) to automate the classification of palm oil FFB ripeness. High-resolution images of palm fruit are processed using Python-based frameworks (Google Colab 3.10.12, YOLOv8) to extract features such as color and texture, which are then used to train the CNN and SVM models. The system architecture includes stages for image acquisition, preprocessing, feature extraction, classification, and decision-making. Both CNN and SVM were evaluated for performance using accuracy, precision, recall, and F1-score. The experimental results demonstrated high classification accuracy, with CNN achieving an average of 0.97 and the highest result recorded at 0.89. The system significantly enhances harvesting decision accuracy and reduces dependence on manual inspection. This study demonstrates the viability of using deep learning and machine learning algorithms for real-time agricultural decision-making. The integration of CNN and SVM not only improves productivity but also contributes to sustainable practices by reducing waste and labor intensity. The proposed system offers a scalable solution that can be adapted for broader smart farming applications, supporting national goals of digital transformation and energy efficiency in agriculture.
Analysis of Ciheras Beach Wind Potential for Minimal Pollutant Electrical Energy Generation Adi Nugraha; Agus Ramelan; Nike Sartika
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.78883

Abstract

Pollutant is a serious problem today as the use of non-renewable energy sources is still a favorite, especially those sourced from coal and petroleum fuels. To anticipate dependence on coal-fired power plants, many studies have been conducted related to environmentally friendly power plants. One of the environmentally friendly power plants is wind power plants. Based on the criteria of wind turbines such as TSD-500, a wind speed of at least 3 m/s is required to start production. The purpose of this study is to find out how much potential clean energy is generated through wind energy generation on the coast of Ciheras. The research method in data collection used is qualitative descriptive. The results of the analysis found that the energy obtained from the process of converting wind energy into electrical energy can illuminate 9 houses, with each house consuming 70 Watts of power for 5 hours.
Adaptive Cruise Control based Motor Acceleration Control using Fuzzy Logic Methods Putra Maulana Yusuf; Joko Hariyono; Joko Slamet Saputro; Agus Ramelan; Feri Adriyanto; Miftahul Anwar
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.71714

Abstract

The paper presents a method for adaptive cruise control based motor acceleration control. On the long-distance driving, using vehicles that have a risk for accidents. One of these accidents is collisions between vehicles in front of them which can cause multiple collisions. With the help of the ACC feature, it can reduce the occurrence of these accidents which are caused by the driver's fatigue and weather conditions on long-distance trips. By using the Fuzzy adaptive cruise control system, it is successful in adjusting the acceleration set on the fuzzy system, and with the help of the GUI it can make it easier for the operator to set the appropriate acceleration.
Blockchain-Based Digital Document Verification Using SHA‑256 on the Internet Computer Protocol (ICP) Muhammad Fadhil Abidin; Lulu Chaerani Munggaran
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 2 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.2.108624

Abstract

Document forgery remains a pervasive problem across education, government, and trade sectors. This paper presents a blockchain-based digital document verification system built on the Internet Computer Protocol (ICP). The approach computes SHA‑256 hashes of documents and anchors them to ICP canister smart contracts, ensuring integrity and non-repudiation without storing document contents. The system manages a registry of approved verifiers so that only trusted institutions can enroll documents. In evaluation with 15 documents (85–3025 KB) and five repeated trials per document, the prototype achieved an average verification time of 1.54 s and an accuracy of 99%. Compared with Ethereum-based baselines in prior work, the ICP-based design avoids gas fees and reduces verification latency. The proposed architecture supports future integration of zero-knowledge proofs (ZKP) to validate authenticity while preserving privacy.
MQTT Protocol-Based ESP-32 Smarthome with Multi-sensor Recognition Febriansyah Dwicahya Makatita; Nurul Fahmi Arief Hakim
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.1.84007

Abstract

Rapid technological advancements are accompanied by a progressive increase in sophistication. Nonetheless, an issue that must not be overlooked in light of this progress pertains to the energy sources employed. One possible resolution to this issue involves the implementation of an automation system within the domestic setting. Therefore, the objective of this study was to develop an automation system for use in a smarthome or residential setting. In addition to this, the objective of this study is to assess the efficacy of the smarthome application and streamline the system in comparison to prior investigations. Following a literature assessment, the research methodology consists of system design, system development, and system testing. Based on the conducted research, it was determined that the temperature sensor employed exhibited a commendable accuracy rate of 98.12%. Positive outcomes were also obtained through the implementation of the MQTT protocol in this study; the MQTT Dashboard application exhibited an average delay of 0.725 seconds, while the node-red application demonstrated a delay of 0.67 seconds. It can be concluded from these results that the designed and implemented system functions as intended. Additionally, these results indicate that the implementation of a smarthome system can streamline the management of routinely utilized electronic devices. In addition to this, the implementation of the sensors yields favorable outcomes, thereby establishing their dependability for the regulation of automated systems. With any luck, this study will offer a comprehensive understanding of the potential of smarthomes as a sustainable alternative that will inspire greater attention to energy conservation in the home environment.
Improved Indoor Localization Mechanism for Automated Guided Robots Using Bluetooth Beacons Fakih Irsyadi; Jans Hendry; Joko Slamet Saputro; Aji Bambang Sasongko; Muhammad Harrys Gumay
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 1 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.1.100928

Abstract

Robot localization is essential for successful navigation, particularly in indoor environments where Global Positioning System (GPS) devices are ineffective. Bluetooth Low Energy (BLE) beacons provide a promising solution by transmitting 2.4GHz signals that can be interpreted by nearby robots. The trilateration method, utilizing Received Signal Strength Indicator (RSSI) values from BLE beacons at predefined locations, enables position estimation. However, RSSI values are highly susceptible to fluctuations and environmental interference, leading to significant errors. This research addresses these challenges by developing a low-cost beacon device using an ESP32 microcontroller and implementing a Kalman filter to minimize RSSI fluctuations. A curve fitting method is applied to convert filtered RSSI data into distance estimates, offering improved accuracy compared to the path loss model. The trilateration approach determines the robot’s position based on three dominant BLE beacons, selected for their signal strength. Results demonstrate that the proposed localization system is effective, with the integration of the Kalman filter and beacon selection mechanism significantly enhancing positional accuracy. This study contributes to the advancement of indoor localization by providing a robust and cost-efficient system suitable for autonomous mobile robot navigation.
Yawing based IoT Monitoring System to Improve Horizontal Axis Wind Turbine Performance Alif Ilham Virdaus; Ivan Abdhira Sukriyandoko; Aldi Fahli Muzaqih; Alfido Marchandi Faizatama; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.79542

Abstract

The diminishing availability of non-renewable energy resources such as coal, oil, and natural gas has prompted efforts to seek sustainable energy alternatives. One promising alternative is wind energy, which can be converted into electricity through wind turbines. However, Horizontal Axis Wind Turbines (HAWTs) have limitations in capturing wind from various directions, affecting operational efficiency. Therefore, this research attempts to address this issue through an innovation in yawing-based monitoring systems integrated with HAWTs and Internet of Things (IoT) technology. The yawing-based monitoring system is designed to monitor the performance of HAWTs in real time, including wind speed, rotations per minute (rpm), electrical current, and voltage. Data obtained from this monitoring system is used to identify potential damage to HAWTs, enabling timely preventive measures. Furthermore, this monitoring system can enhance the operational efficiency of HAWTs, reduce maintenance costs, and extend their lifespan. The results obtained from the comparison between the conventional system and the system with active yawing show a significant increase in power generated by the turbines equipped with the active yawing system. On average, turbines with the conventional system produce 213 watts of power, while turbines equipped with the active yawing system reach a power output of 296 watts. This represents a 39% increase in turbine efficiency, enhancing wind energy capture efficiency. These findings confirm that the integration of the active yawing system can optimally align the turbines with the incoming wind direction, thereby improving the overall system performance.

Page 8 of 9 | Total Record : 89

 5   6   7   8   9 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7, No 2 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 7, No 1 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 5, No 1 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 4, No 1 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 3, No 2 (2021): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 3, No 1 (2021): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 2, No 2 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 2, No 1 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY Vol 1, No 1 (2019): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY More Issue